Hacktron vs Zinley: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hacktron and Zinley — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Hacktron
Hacktron AI
An AI security engineer that reviews every pull request, traces exploitable vulnerabilities and proves them with a working exploit before code ships.
Key features
- Exploit-Proven PR Review: Reviews every pull and merge request on GitHub, GitLab or Bitbucket and only reports a finding when it can attach a working exploit demonstrating real impact.
- Attacker-Path Taint Tracing: Indexes the codebase and traces tainted input through call paths to determine what an attacker can actually reach, rather than pattern-matching on syntax.
- Fix with AI in the Thread: Delivers a remediation prompt and suggested diff inside the pull request comment so the fix happens where the review already is.
- Security Automations: Set trigger conditions once and Hacktron verifies, fixes and tests every matching finding, then notifies the team in Slack or email.
- Whitebox Pentests: Launches a full-scope assessment that deploys a sandbox, builds a call graph, maps the attack surface and validates exploits, delivering an audit-ready SOC 2 or ISO 27001 report in hours instead of weeks.
- Versioned Project Rules: A .hacktron/rules.md file lives and versions with your code, encoding which paths are high risk and which findings to suppress, cutting false positives without going blind to real bugs.
- Threat Models from Your Documents: Upload architecture notes, security policies or past pentest reports and Hacktron builds and updates a versioned threat model for the application.
- Triage as Training: Every finding you accept, dismiss or downgrade teaches the system that codebase's threat model, so reviews sharpen the longer it stays embedded.
- MCP and REST API Access: Pull findings into Cursor, Claude Code or Codex over MCP to analyse and fix, or build custom workflows on the REST API, plus Jira and Linear ticket creation.
Best for
- Pre-Merge Vulnerability Gating: Catching an IDOR or injection introduced by a pull request before it reaches production, with the exploit attached so nobody debates severity.
- Replacing Annual Pentests: Running continuous whitebox assessments instead of relying on a once-a-year engagement that misses everything shipped in between.
- SOC 2 and ISO 27001 Evidence: Producing an audit-ready penetration test report in hours to satisfy a compliance deadline or a customer security review.
- Cutting Scanner Alert Fatigue: Replacing a noisy SAST queue with findings that come with proof, so the security team spends its time on real issues.
- Scaling a Small Security Team: Giving one or two security engineers coverage across every repository and every developer's pull requests.
- Dependency Supply-Chain Checks: Scanning a lock file for malicious packages before they land in the build.
- Fixing Findings from Your Editor: Pulling confirmed vulnerabilities into Claude Code or Cursor over MCP and remediating them without leaving the IDE.
Zinley
Zinley
A personal AI extension with its own phone number, inbox, and computer that answers calls, handles email, and gets work done in your name.
Key features
- Own Phone Number: Zinley answers and places calls on a dedicated number, books meetings, follows up, and waits on hold, bringing you in only when a decision is yours.
- Own Email Inbox: CC Zinley on a thread and it schedules meetings, negotiates details, and follows up in your tone, dropping the final invite on your calendar.
- Own Computer: Runs its own machine and works on the devices you approve, executing multi-step work in the apps you use rather than only chatting about it.
- People + Open-Loop Memory: Remembers who matters to you, shared history, and unfinished threads so you never re-explain backstory or lose a follow-up.
- Plain-Language Receipts: Every handoff ends with a step-by-step recap of what was called, sent, or done, so you can audit the agent without reading raw logs.
- Cross-Channel Reach: The same agent shows up on web, phone, text, email, iMessage, Discord, and Telegram, with mobile and desktop apps coming.
- Native Integrations: Connects to Gmail, Slack, Google Calendar, Notion, Linear, GitHub, Drive, Figma, and Stripe so it can act on real work, not just talk about it.
- Rule-Bound Autonomy: You set the rules that govern what Zinley may decide on its own and when it must bring you in, keeping decisions under your control.
Best for
- Handling Calls You Miss: Zinley answers unknown or unwanted calls on your number, screens candidates, vendors, or delivery, and hands off a summary instead of a voicemail.
- Meeting Scheduling By CC: CC Zinley on an email thread and it books the meeting in your tone, dropping the final invite on your calendar without further back-and-forth.
- Daily Work Handoffs: Kick off multi-step tasks on your computer — pull a report, update a doc, ship a small change — and get a receipt when it's done.
- Cross-Device Continuity: Start a request on desktop and pick it up from your phone, text, or Telegram with the same memory of people and open loops.
- Personal Ops For Founders / Executives: Delegate the constant flow of scheduling, follow-ups, and small operational calls to an extension that already knows the players.
- Enterprise Deployment: Give teams their own Zinley extensions that share knowledge with the org while representing individual owners on external calls and email.